Minimizing Completion Time in Wireless Networks with In-Band Full Duplex Links
dc.contributor.author | Ren, Y. | |
dc.contributor.author | Chin, K. | |
dc.contributor.author | Soh, Sie Teng | |
dc.date.accessioned | 2018-12-13T09:16:08Z | |
dc.date.available | 2018-12-13T09:16:08Z | |
dc.date.created | 2018-12-12T02:46:42Z | |
dc.date.issued | 2018 | |
dc.identifier.citation | Ren, Y. and Chin, K. and Soh, S.T. 2018. Minimizing Completion Time in Wireless Networks with In-Band Full Duplex Links. IEEE Access. 6: pp. 64278 - 64291. | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/73323 | |
dc.identifier.doi | 10.1109/ACCESS.2018.2878052 | |
dc.description.abstract |
OAPA One approach to improve network capacity in future wireless networks is to deploy Access Points (APs) in a dense manner and employ a controller to manage these APs. Another innovation is to equip nodes with an In-Band Full- Duplex (IBFD) radio, which allows them to transmit and receive simultaneously over the same frequency band. A key challenge, however, is interference. To this end, a link scheduler plays a critical role in ensuring the benefits of dense APs deployment and IBFD are not negated by severe interference. Henceforth, this paper proposes three centralized algorithms that aim to drain a given set of packets from links in minimum time. We have compared these algorithms against a schedule where links transmit independently, and an algorithm that schedules links at slot boundaries. We studied the impact of varying node densities, transmission power and Signal-to-Interference-plus-Noise Ratio (SINR) thresholds on the link schedule. Our results show the overall completion time can be reduced by 68% as compared to scheduling links individually. Moreover, our algorithms reduce the completion time by 13% as compared to scheduling links on a slot-by-slot basis. | |
dc.publisher | IEEE Access | |
dc.title | Minimizing Completion Time in Wireless Networks with In-Band Full Duplex Links | |
dc.type | Journal Article | |
dcterms.source.issn | 2169-3536 | |
dcterms.source.title | IEEE Access | |
curtin.department | School of Electrical Engineering, Computing and Mathematical Science (EECMS) | |
curtin.accessStatus | Fulltext not available |
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